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The purpose of this study was to develop regression-based prediction equations for estimating dual-energy X-ray absorptiometry (DXA)-derived appendicular lean soft tissue mass (aLM) using ultrasound and to investigate the validity of these equations in 102 Caucasian adults aged 50 to 76 years. The subjects were randomly separated into two groups: 71 in the model-development group (41 men and 30 women) and 31 in the cross-validation group (18 men and 13 women). aLM was measured using a DXA, and muscle thickness (MT) was measured using ultrasound at 9 sites. Stepwise linear regression analysis was used to determine predictive models for DXA-derived aLM from MT variables, sex, and age. A number of ultrasound prediction equations for estimation of aLM were developed and then cross-validated in a subsample of older adults. The results indicated that ultrasound MT and MT × height can be used to accurately and reliably estimate DXA-derived aLM in older Caucasian adults.
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http://dx.doi.org/10.1007/s11357-015-9853-2 | DOI Listing |
Pediatr Obes
August 2025
Department of Mathematics and Statistics, Concordia University, Quebec, Canada.
Background: A dual-energy x-ray absorptiometry (DXA)-derived phenotype classification based on fat mass and muscle mass has been developed for adults. We extended this to a paediatric population.
Methods: Children's (≤ 17 years) DXA data in NHANES (n = 6120) were used to generate sex- and age-specific deciles of appendicular skeletal muscle mass index and fat mass index with the Lambda Mu Sigma method.
Minerva Endocrinol (Torino)
July 2025
First Department of Internal Medicine, P.J. Šafárik University, Košice, Slovakia.
Background: Sarcopenic obesity is closely related to metabolic dysfunction-associated steatotic liver disease (MASLD), but the independent contributions of lean mass and fat mass components to MASLD are not well understood. Our study aimed to evaluate the relationship between the dual-energy X-ray absorptiometry (DXA)-derived soft tissue components and the extent of liver steatosis in patients with MASLD.
Methods: A cross-sectional study of 118 obese/overweight patients aged 33-78 years, with type 2 diabetes mellitus (T2DM) or prediabetes and MASLD, on oral antidiabetic medication was conducted.
Am J Clin Nutr
September 2025
Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, United States.
The evaluation of skeletal muscle (SM) mass has significant clinical and research relevance in the diagnosis and management of conditions, such as malnutrition, sarcopenia, sarcopenic obesity, and cancer cachexia. Dual-energy X-ray absorptiometry (DXA) is now the most widely used method for estimating SM mass; however, it does not directly measure SM but instead provides proxies that require careful interpretation. A major issue in the field is the inconsistent and sometimes incorrect use of DXA-derived terminology in both scientific literature and clinical practice, leading to potential misdiagnoses and inaccurate research conclusions.
View Article and Find Full Text PDFJ Clin Densitom
April 2025
Chronic Disease Innovation Centre, Winnipeg, Manitoba, Canada; University of Manitoba, Winnipeg, Manitoba, Canada. Electronic address:
Introduction: Sarcopenia is characterized by progressive muscle loss with reduced physical function and/or reduced muscle strength. Operational definitions of sarcopenia include a measurement of muscle mass, most often from dual-energy X-ray absorptiometry (DXA)-derived appendicular lean mass. Appendicular lean mass can be derived from whole-body dual-DXA scans; however, these scans are performed less commonly than hip and spine scans as part of clinical care.
View Article and Find Full Text PDFClin Nutr
March 2025
Department of Biomedical Sciences, CIR-Myo Myology Centre, Neuromuscular Physiology Laboratory, University of Padova, Padua, Italy.
Background: Population-specific reference values are needed to accurately contextualise age-related changes in body composition. This study aimed to a) establish age- and sex-specific reference values and cut-points for a range of dual-energy x-ray absorptiometry (DXA) derived metrics of lean mass (LM), fat mass (FM) and bone mineral density (BMD), across adulthood in a large adult cohort; and b) determine the association between DXA-derived body composition, body roundness index (BRI), and body mass index (BMI).
Methods: Cross-sectional data were collected from 10,033 men and women aged from 18 to 92 years.